HRS/HCAP Algorithm in HRS Core

Rich Jones, Doug Tommet

2024-12-19

Contents

  1. Goal of project

  2. Analysis plan and progress

  3. Some selected results

  4. Next steps and timeline

Project Goal

The goal is to determine to what degree the Core data can be used to approximate the HRS/HCAP classification.

The procedure will be to classify 2016 HRS/HCAP participants into cognitive impairment categories (normal, mild cognitive impairment, dementia) using only data from the HRS 2016 Core interview (i.e., omitting all HRS/HCAP data).

This is only one of several possible approaches to cognitive classification of Core participants.

Progress

  1. Factor model for general cognition in HRS/Core (in R)

  2. Adjustment, standardization and normalization (in R)

  3. Equivalent cut point for identifying severe and moderate cognitive impairment to that used in HRS/HCAP algorithm

  4. Operationalize functional impairment in HRS/Core

  5. Run and compare algorithms

  6. Reporting

Selected results

Single factor model for HRS/Core cognition

some tables

The single factor model fits well by conventional fit criteria.

Like the HRS/HCAP factor models, we do not include immediate memory performance in the model.

We do include naming and serial 7s, which are not in HRS/HCAP models

In the normative reference group

NOT in the normative reference group

histogram

In the normative reference group

NOT in the normative reference group

NOT in HRS/HCAP

histogram

Bland-Altman comparison of tf and Tgcp Limits of agreement (Reference Range for difference): -17.052 to 19.963 Mean difference: 1.456 (CI 1.722 to 1.189) Range : -15.198 to 81.953

. tab CogImp if missing(tf)~=1

 CogImp |      Freq.     Percent        Cum.

————+———————————– No domains | 2,119 64.62 64.62 1 domain | 663 20.22 84.84 2+ domains | 497 15.16 100.00 ————+———————————– Total | 3,279 100.00

. . centile tf if missing(CogImp)~=1 & missing(tf)~=1, centile(15 35)

                                                      Binom. interp.   
Variable |       Obs  Percentile    Centile        [95% conf. interval]

————-+————————————————————- tf | 3,279 15 36.03611 35.25256 36.42486 | 35 43.36455 42.96254 43.88443

. tab CogImp tfCogImp

       |             tfCogImp
CogImp |         0          1          2 |     Total

———–+———————————+———- No domains | 1,668 345 106 | 2,119 1 domain | 344 190 129 | 663 2+ domains | 120 120 257 | 497 ———–+———————————+———- Total | 2,132 655 492 | 3,279

. kap CogImp tfCogImp

         Expected

Agreement agreement Kappa Std. err. Z Prob>Z

64.50% 48.33% 0.3130 0.0130 23.98 0.0000